- Open Access
Effectiveness of robot-assisted therapy on ankle rehabilitation – a systematic review
Journal of NeuroEngineering and Rehabilitation volume 10, Article number: 30 (2013)
The aim of this study was to provide a systematic review of studies that investigated the effectiveness of robot-assisted therapy on ankle motor and function recovery from musculoskeletal or neurologic ankle injuries.
Thirteen electronic databases of articles published from January, 1980 to June, 2012 were searched using keywords ‘ankle*’, ‘robot*’, ‘rehabilitat*’ or ‘treat*’ and a free search in Google Scholar based on effects of ankle rehabilitation robots was also conducted. References listed in relevant publications were further screened. Eventually, twenty-nine articles were selected for review and they focused on effects of robot-assisted ankle rehabilitation.
Twenty-nine studies met the inclusion criteria and a total of 164 patients and 24 healthy subjects participated in these trials. Ankle performance and gait function were the main outcome measures used to assess the therapeutic effects of robot-assisted ankle rehabilitation. The protocols and therapy treatments were varied, which made comparison among different studies difficult or impossible. Few comparative trials were conducted among different devices or control strategies. Moreover, the majority of study designs met levels of evidence that were no higher than American Academy for Cerebral Palsy (CP) and Developmental Medicine (AACPDM) level IV. Only one study used a Randomized Control Trial (RCT) approach with the evidence level being II.
All the selected studies showed improvements in terms of ankle performance or gait function after a period of robot-assisted ankle rehabilitation training. The most effective robot-assisted intervention cannot be determined due to the lack of universal evaluation criteria for various devices and control strategies. Future research into the effects of robot-assisted ankle rehabilitation should be carried out based on universal evaluation criteria, which could determine the most effective method of intervention. It is also essential to conduct trials to analyse the differences among different devices or control strategies.
Tejima, 2000 The human ankle joint is a very complex bony structure in the human skeleton and plays a significant role in maintaining body balance during ambulation. In fact, the ankle is the most common site of sprain injuries in the human body, with over 23,000 cases estimated to occur per day in the United States and about 100, 000 emergency department presentations per year in Australia. In New Zealand, more than 82,000 new claims and 17,200 ongoing claims related to ankle injuries were made to the Accident Compensation Corporation (ACC) in the 2000/01 year, costing an estimated 31.8 million New Zealand dollars and making ankle related claims the fourth biggest cost to ACC. Additionally, neurologic injuries like stroke, traumatic brain and spinal cord injuries are also leading causes for ankle disabilities. In the United States, at least 750, 000 incident and recurrent strokes occurred with the prevalence rate being about 200 to 300 patients per 100,000 inhabitants in 1995. However, the biggest effect on patients with ankle disabilities and their family members is usually a result of long-term impairment, limitation of activities and reduced participation.
Traditionally ankle injuries are rehabilitated via physiotherapy and however evidence suggests that without sufficient rehabilitation: 44% of people will have future problems[6, 7]; ambulation is markedly compromised; re-injury prevalence is high; and approximately 38% of people will have recurrent activity limitations affecting their function. Furthermore, during a rehabilitation treatment, cooperative and intensive efforts of therapists and patients are required over prolonged sessions. Robotics technology can provide an overdue transformation of rehabilitation clinics from labor-intensive operations to technology-assisted operations as well as a rich stream of data that can facilitate patient diagnosis, customization of the therapy, and maintenance of patient records (at the clinic and at home). Thus, robotic devices have been developed for human ankle rehabilitation by some research groups[11–13]. Currently, there are mainly two kinds of robot-assisted ankle rehabilitation devices: those that are wearable devices mainly aiming at improving ankle performance during gait and those that are platform based devices focusing solely on improvement of ankle performance[14–16].
However, little is known about the effects of robot-assisted therapy on ankle recovery from disabilities and the intervention most effective for a specific case. The purpose of this systematic review was to provide a comprehensive investigation and examination of published evidence on the effectiveness of robot-assisted therapy used to help human ankles recover from musculoskeletal or neurologic injuries.
The literature search was limited to English-language articles (i.e., journal articles, extended abstracts, and conference proceedings) published between January 1980 and June 2012 in the following electronic databases recommended by a librarian in Auckland University: PubMed, EMBASE (Excerpta Medical database), MEDLINE (OvidSP), CDSR (Cochrane database of systematic reviews), Web of Science, Scopus, Compendex, IEEE Xplore, ScienceDirect, Wiley Online Library, Digital Dissertations, Academic Search Premier, SpringerLink. The electronic search terms were “‘Ankle*’ AND ‘Robot*’ AND (‘rehabilitat*’ or ‘treat*’)”. A free search in Google Scholar was also conducted and valuable references listed in relevant publications were screened, which made our search as systematic and complete as possible.
The two primary reviewers (MZ, TCD) were a PHD student with expertise in mechatronics system and a senior lecturer with expertise in assistive technologies of rehabilitation, respectively. The third reviewer (SX) was a professor with expertise in medical robotics, assistive and rehabilitation robots. Two of reviewers (TCD, SX) hold doctorates in their respective fields. The initial search was conducted in thirteen electronic databases by one primary reviewer (MZ) and the total number of articles identified was 686. To start with, one primary reviewer (MZ) assessed all the titles for eligibility using the screening criteria described below. MZ independently assessed all abstracts after the first round screening. Abstracts considered as meeting the inclusion criteria by MZ were automatically included in the full review. Otherwise, they were excluded. Studies one primary reviewer (MZ) was not sure whether to include or not were discussed by two primary reviewers. Discrepancies between the two primary reviewers were resolved through participation from the third reviewer and discussion among these three reviewers. A search in Google Scholar was conducted by one primary reviewer (MZ) based on therapeutic effects of ankle rehabilitation robots and the references of the included papers were also screened by MZ for any additional studies. These studies newly selected were also reviewed.
Twenty-nine studies were included in the final review. Data extraction was then undertaken. The review concentrated on evidence based therapeutic effects of robot-assisted ankle rehabilitation, design types, levels of evidence and quality levels of the articles. The schematic overview of selection process with search results is shown in Figure1.
Inclusion and exclusion criteria
Robotics was defined as: “The application of electronic, computerized control systems to mechanical devices designed to perform human functions.” The American Heritage Dictionary defined a robot as a mechanical device that sometimes resembled a human and was capable of performing a variety of often complex human tasks on command or by being programmed in advance, or a machine or device that operated automatically or by remote control.
All trials assessing the clinical outcomes of robot-assisted ankle rehabilitation training were included. These included participants who sustained any grade of ankle disabilities caused by musculoskeletal or neurologic injuries. Both male and female participants from athletic and non-athletic populations were included to allow the generalisation of results to different populations. Papers involving platform based ankle rehabilitation robots or wearable ankle rehabilitation robots were included.
However, studies were excluded if participants underwent ankle surgeries or wore ankle prostheses. Animal based trials assessing humans and healthy subjects based trials assessing patients were also excluded. Studies focusing on the whole lower limb but not related to ankle recovery were excluded as well. Only English articles published in peer-reviewed journals or published as conference papers or abstracts were included.
Organization of evidence
The data extraction form used for this study was the critical review form for quantitative studies developed by the Occupational Therapy Evidence-Based Practice Group at McMaster University, Hamilton, Ontario, Canada[19, 20] provided guidelines for the reviewer to summarize information about study purpose, background literature, design category, sample size, outcome measures, treatment interventions, results and conclusions. Levels of evidence for the selected studies were assessed according to guidelines from AACPDM and were evaluated by the two primary reviewers.
The search results are summarized in Figure1. Sixty-three abstracts appeared to meet the inclusion criteria, and the associated full articles were obtained through downloading from electronic databases. Moreover, ten papers that appeared to meet the inclusion criteria were obtained from Google Scholar. Sixteen papers were excluded because they attempted to assess the effects of robot-assisted ankle rehabilitation devices by setting healthy subjects to participate the training[22–37]. A further two papers were excluded because they only validated the feasibility of robotic devices through simulations[38, 39]. Eighteen papers focusing on the design of ankle rehabilitation robots without application were also excluded[11–13, 40–54]. Four other papers involved descriptive review about robot-assisted lower extremity rehabilitation[14–16, 55] and they were excluded. A conference paper with its main content included in a journal article was excluded; studies and involved the same patients and the former was excluded. Both and which focused on a novel approach to walking therapy were excluded. Another two studies[61, 62] concerning the whole lower limb recovery but no ankle were excluded. Eventually, 29 papers that still met the inclusion criteria were selected for this systematic review[58, 63–90]. These studies were carried out to evaluate the therapeutic effects of ankle rehabilitation robots through participation from related patients.
A total of 29 original papers, with data from 164 patients and 24 healthy participants used as control participants in different studies, met the inclusion criteria after the eventual discussion among three reviewers. 16 of these studies focused on evaluating the therapeutic effects of platform based ankle rehabilitation devices, as shown in Table 1. Another 13 papers discussed the therapeutic effects of wearable ankle rehabilitation robots (three studies involved anklebot, one was for in-bed ankle rehabilitation robot, six studies focused on ankle-foot orthoses (AFOs) and three papers involved a robotic-assisted locomotor training device partly focused on ankle rehabilitation), as shown in Table 2. The 164 patients spanned the ages 7 to 81 while the age of 30 patients in six papers[65, 68, 76, 88, 89, 91] was not stated. The majority of participants sustained ankle disabilities mainly caused by musculoskeletal injuries and stroke. Additionally, traumatic or non-traumatic brain, spinal cord injuries, Cauda Equine syndrome and Guillain-Barre syndrome were also key factors for ankle disabilities.
Studies meeting the inclusion criteria were quantitative. Study designs included one RCT with only 18 participants, one single case design, nine before-after designs, six single case series and six case study designs. The remaining six studies adopted two kinds of designs, specifically,[69, 81] adopted case control design and single case design,[78, 85] applied case control design and before-after design, adopted a combination of single case series and before-after design, applied both single case design and before-after design. contained three case reports. RCTs’ essential feature is a set of clients/subjects are identified and then randomly allocated to two or more different treatment groups; for single case designs, changes in accessibility using several types of technology are compared with baseline data from the same individual using intervention sequences such as ABA, ABAB, ABACA, or ABCD; single case series designs involve more than one subject/client but evaluate pre and post treatment for that individual; before-after designs allow the evaluator to collect information about the initial status of a group of clients in terms of the outcomes of interest and then collect information again after treatment is received; in case control designs characteristic or situation of interest is compared with a control group of people who are similar in age, gender and background; case study designs involved task completion exercises without control group in order to provide descriptive information about the relationship between a particular treatment and an outcome of interest[20, 21].
None of the studies involved outcomes classified using the health dimensions of the World Health Organization’s International Classification of Functioning, Disability, and Health. Most studies tested outcomes in terms of either ankle performance (e.g. ankle strength, ankle range of motion (ROM) and ankle motor control)[58, 64, 65, 68–71, 76, 78–80, 83, 85],[86, 88–91] or gait functionality[63, 73, 74, 77, 81, 87]. Five studies assessed both ankle performance and gait functionality to verify the effects of robot-assisted ankle rehabilitation devices[66, 67, 75, 82, 84]. One study also tried to assess the device’s effectiveness through pressure distribution on the footplate, but whether pressure distribution could be used as an indicator of ankle recovery is not clear. Two studies[75, 80] also considered satisfaction level of participants as the evaluation criteria.
It is difficult to know how functional improvements in laboratories correlate with activities of daily life. One study showed that for people with stroke, the six-minute walk test was correlated to StepWatch monitor outputs over three days. However half of the variability in usual walking performance was not explained by clinical walking tests, and the study concluded that activity monitoring should also be included in functional assessments.
Several studies have shown that gait performance is affected by ankle muscle strength (in stroke and spastic diplegia CP) and ankle joint position. One study concluded that the isokinetic torques of the paretic ankle plantar flexors had moderate to high correlations with gait and stair-climbing speeds. Another revealed that the dorsiflexors strength was the most important factor for gait velocity and dynamic spasticity was the most important determinant for gait spatial symmetry. It also showed that adequate ankle control during gait was important for normal gait pattern. To some extent, however, a functional recovery of gait can be thought of as an indicator of ankle joint functional recovery.
The level of evidence was based on the AACPDM guidelines. 28 studies were conducted with evidence no higher than level IV. Only one study was designed through RCT with only 18 participants and thus the evidence level was II.
The studies were grouped into two general areas based on the type of devices used for robot-assisted ankle rehabilitation. One was platform based ankle rehabilitation robot, and the other was wearable ankle rehabilitation robot.
Our goal in this systematic review was to identify research describing the therapeutic effects of ankle rehabilitation robot. In total, we found 29 studies of robot-assisted ankle rehabilitation for individuals with any grade of ankle disability.
Platform based ankle rehabilitation robots
Platform based ankle rehabilitation devices have a fixed platform and thus cannot be used during gait training. Parallel mechanisms are typically used for multiple degrees of freedom (DOF) systems to reduce the size of robots. With the exception of the Stewart platform based device which is capable of six DOF motion, most researchers have opted for designs which offer two or three DOF in rotational motion.
A range of platform based devices have been developed by researchers for the purpose of ankle rehabilitation. They are usually designed to carry out various ankle rehabilitation exercises such as motion therapy and muscle strength training. Motion therapy can be divided into passive, active-assist and active exercises, each requiring a different level of participation from patients, ranging from no active effort in the passive exercises to full users driven motion in active exercises. Strength training on the other hand requires robots to apply a resistive load to impede the users’ movement to improve muscle strength.
The Rutgers Ankle Rehabilitation System was adopted in nine studies[64, 73, 76, 77, 80, 82, 83, 88],. All these studies except focused on the development and effects of this ankle rehabilitation system. The study used an RCT design and showed that a robot Virtual Reality (VR) system had better outcomes compared with a robot alone whose improvements were modest and did not transfer to significant functional or behavioural changes on the gait of individuals after stroke. Two studies[77, 82] adopted VR Rutgers Ankle to conduct post-stroke rehabilitation and assessed the effects based on different criteria. One was gait and elevation speed and the other was ankle and foot mobility, force generation, coordination and the ability to walk and climb stairs. The results indicated that Lower Extremity (LE) rehabilitation of a post-stroke individual was promising and could transfer to improve gait and elevation speed[77, 90] further verified the conclusion in through a two-month study in which three chronic post-stroke individuals underwent LE rehabilitation. The second version of the Rutgers Ankle robot used in included VR based ankle rehabilitation with task-level haptic effects to enhance patients’ experience and alleviate boredom. Results through a single case series design with three participants indicated that strength capabilities for some ankle muscles were improved and haptic effects did not interfere with patients’ ability to use the platform. Cioi, 2011 proposed an updated Rutgers Ankle CP robot to allow access by youth with CP. It was concluded that patient function and quality of life improved based on increased ankle strength and motor control after 36 rehabilitation sessions. Burdea, 2012 further verified the conclusion through test on three children with CP and wider evaluation criteria. VR based telerehabilitation consisting of Rutgers Ankle and a local PC connected with a remote PC over the internet was evaluated in through six post-stroke patiens. Performance in terms of accuracy of ankle movement, exercise duration and training efficiency, ankle mechanical power and number of repetitions did not decrease during the transition from the third week to the fourth week. Two studies[80, 83] involved orthopaedic rehabilitation using the Rutgers Ankle haptic interface. In, a proof-of-concept patient trial found that this device can be used for ankle rehabilitation in patients with hyper and hypomobile ankles by comparison between the healthy ankle and the injured ankle. Furthermore, presented three case reports about rehabilitation of musculoskeletal injuries using the Rutgers Ankle haptic interface. The results showed improvements in ROM, torque generation capacity and ankle mechanical work over six rehabilitation sessions. However, the evidence level of these papers involving Rutgers Ankle was relatively low.
All in all, ankle rehabilitation using VR based Rutgers Ankle as compared to the Rutgers Ankle Robot alone was encouraging based on the testing of 45 participants (a child with CP and 44 with post stroke or varying musculoskeletal ankle injuries). The main effect is likely due to the alleviation of end-users’ boredom.
Rehabilitation through ankle stretching was conducted in five studies[58, 68, 75, 78, 86]. An intelligent stretching device was developed in to treat the spastic/contractured ankles of neurologically impaired patients. This device stretched the ankle safely to extreme dorsiflexion and plantarflexion position where spasticity and contracture were significant until a specified peak resistance torque was reached and then the ankle was held at the extreme position for a period of time to let stress relaxation occur before it moved to the other extreme position. This made the treatment more effective than existing methods in terms of active and passive ROM, joint stiffness, viscous damping and reflex excitability in the sample of spastic patients. Selles, 2005 further verified the therapeutic effects of the intelligent stretching device through a single case series design and found improvements with more outcome measures including additional muscle strength, walking speed and subjective experience of the subjects. Waldman, 2011 mentioned a portable robot used for ankle rehabilitation after stroke. Each training session in this trial included passive stretching under intelligent control and biofeedback active movement training through motivating games with the robot providing assistance or resistance as needed. After 18 training sessions, eight subjects showed improvements in active dorsiflexion range, dorsiflexion muscle strength, MAS, STREAM and Berg Balance. These improvements were still observed six weeks after the study was completed. Such a device with similar training was also used for rehabilitation of LE impairments in children with CP and results demonstrated improvements in joint biomechanical properties, motor control performance, and functional capability in balance and mobility. Although numerous articles have shown significant improvements of ankle performance or gait functionality, the mode by which this is achieved is unknown. Other types of trainings have not been compared to game based robotic assistance or resistance during passive stretching under intelligent control and biofeedback active movement training. Homma, 2007 developed an ankle dorsiflexion/plantarflexion exercise device with passive mechanical joint and its effects were evaluated by pressure distribution on the footplate. Whether pressure distribution can be used as an indicator of recovery was not clear and the relation with biological data should be further investigated.
A novel therapeutic approach (Assisted movement with enhanced sensation (AMES)) was proposed in. The effects of AMES as a treatment for hemiplegia was assessed through strength and joint positioning tests as well as motor function. For 11 subjects with severe LE motor disability, improvements on most functional tests were sustained for six months. This strategy appeared safe and effective in chronic stroke patients. However, further studies with high level evidence should be conducted to verify its therapeutic effects.
Wearable ankle rehabilitation robots
Wearable robots known as exoskeleton robots or as powered orthoses are being developed in contrast to platform based rehabilitation robots. In this review wearable ankle rehabilitation robots mainly referred to wearable anklebot and AFOs. The AFO is a single-joint orthosis designed to assist and support movements of the ankle joint. It plays an important role during human walking. The first AFO was made in the late 1960s. Some original robotic orthoses have been developed around the world and some trials with patients have been conducted for assessing their effects.
Three studies[65, 66, 85] proposed a visually guided, impedance controlled, seated anklebot intervention for ankle rehabilitation and corresponding trial designs were conducted for assessing its effects on the paretic ankle. This control approach allowed subjects to reach targets unassisted while automatically tracking their performance; however, if subjects failed to move their ankles to reach a target in time, the robot provided assistive ankle torques. In, two sub-acute stroke survivors performed ankle targeting movements in plantarflexion/dorsiflexion and inversion/eversion ranges with robotic assistance-as-needed and improved their ankle motor control in terms of targeting accuracy, faster speed and smoother movements. These short-term improvements were accompanied by changes in EEG power and coherence, which was possibly useful for the development of more effective anklebot training that may translate to gains in gait function. Roy, 2011 evaluated short-term ankle motor performance in chronic hemiparetic stroke through a double–arm pilot study with 560 movement repetitions training only in plantarflexion/dorsiflexion ranges. Statistically significant gains were achieved as indexed by increased targeting accuracy, higher angular speed, smoother movements and number of speed peaks. Forrester, 2011 adopted a similar training protocol as but with a different trial design and the purpose focused on effects on hemiparetic gait after a stroke. Results showed promise for the use of a modular impedance controlled anklebot in the treatment of post-stroke hemiparesis, and seated anklebot training could reduce ankle impairment and improve gait function. However, whether seated anklebot training with a task based video game and impedance controller has better therapeutic effects compared with other ankle rehabilitation robots has not been shown.
Ren, 2011 proposed a wearable robot for in-bed acute stroke rehabilitation and this device also applied passive stretching and active movement training through playing a game. Four patients participating in this trial were satisfied with this device and the positive changes of active and passive biomechanical properties were detected.
An active ankle-foot orthosis (AAFO) was developed in where the impedance of the orthotic joint was modulated throughout the walking cycle to treat drop-foot gait. A before-after trial design with two drop-foot participants and three control subjects showed that a variable-impedance orthosis might have certain clinical benefits for the treatment of drop-foot gait compared to conventional AFO having zero or constant stiffness joint behaviours. University of Michigan Powered Ankle-foot orthoses’ (PAFOs’) effects were assessed through five patients with chronic incomplete spinal cord injury. It has been shown that mechanical assistance from PAFOs improved ankle push-off kinematics without substantially reducing muscle activation during walking. Robotic plantarflexion assistance could be used during gait rehabilitation without promoting patients passivity. Two studies[70, 79] assessed an intelligent ankle-foot orthosis (IAFO). In, an experiment carried out using the IAFO with developed Magneto-rheological (MR) brake and control algorithm demonstrated that drop foot in swing phase and slap foot at heel strike was prevented in control participants, which was further confirmed by a patient with Guillain-Barre Syndrome in. In, the PAFO utilized robotic tendon technology with a single DOF resulting in ankle rotation in the sagittal plane. All participants in that study showed some positive changes in their key gait variables and these improvements were more dramatic while harnessed and using a treadmill. A portable powered ankle-foot orthosis (PPAFO) was proposed in to provide untethered assistance during gait. The PPAFO provided both plantarflexor and dorsiflexor torque assistance by way of a bidirectional pneumatic rotary actuator. Healthy volunteers and a participant with a diagnosis of cauda equine syndrome participated in this research. Data from healthy walkers demonstrated functionality, and data from an impaired walker demonstrated the ability to provide functional plantarflexor assistance. Significant evidence exists to support the use of AFOs and however the therapeutic differences among them should be further investigated.
Two studies[72, 89] assessed the effects of robotic-assisted locomotor training on spasticity and volitional control of the spastic ankle in persons with incomplete Spinal Cord Injury (SCI). The results showed this training was effective in reducing spasticity and improving volitional control for patients with SCI. Another study collected data from both inpatients and outpatient patients with mobility problems secondary to an acquired brain injury, before and after robotic-assisted locomotor training from September 2008 to May 2009. It showed significant improvement in ankle dorsiflexion.
Several categories of strategies have been reported, including, assistive, challenge-based, haptic simulation, and coaching for robotic movement training following neurologic injuries. There were several studies that have examined the effects of various control strategies for robot-assisted ankle rehabilitation by unimpaired subjects. Sixteen studies[22–37] were referred for more information. All selected studies with clinical evidence showed positive therapeutic effects for patients with ankle disability. Studies like[64, 76, 77, 82, 83, 90] took challenge-based robotic therapy control algorithms by providing resistance to the injured ankle during exercise and haptic simulation strategies by haptic interfaces for interacting with VR simulation. In, an upgrade Rutgers Ankle created a more powerful reaction force and more accurate direct kinematics, added inverse kinematics for passive training at the ankle. Three recent studies[65, 66, 85] proposed assistance as needed by a control mechanism applied based on the error between the target location and the proximity of the subject’s ankle, as well as the robotic torsional stiffness and damping. While many studies have demonstrated that training with different robotic control strategies reduces motor impairment as assessed with various outcome measures, only a few studies have found differential benefits of particular robotic control strategies with respect to other control strategies. However, which control strategy is more effective for a certain ankle disability has not been clearly addressed yet and should be further investigated.
Safety and reliability
Not much attention has been paid to the technologies of human robot symbiosis to date because almost all robots have been designed and constructed on the assumption that the robots are physically separated from humans. In particular, safety and reliability are the underlying evaluation criteria for mechanical design, actuation, and control architectures. Among all selected studies, eleven studies[63, 64, 68, 69, 72, 75, 76, 78],[81, 89] involved the safety issue when ankle rehabilitation was conducted on patients. To ensure user safety during operation, used an equipment within the manufacturer’s published specifications. In, the interaction between the platform stiffness and the vibrations imposed safety limitations on the system. ASME device mentioned in was non-invasive and the relatively small amplitudes of tendon vibration and movement make it safe to use. In, the given ROM was smaller than the subject’s actual ROM and the speed was set slow enough to avoid induction of spasticity for safety reasons. Appropriate procedure of emergency stop should be further examined since sudden stop may induce injury of foot. proposed a snowboard foot binding on the top platform of the robot to allow safe and easy attachment to the patient’s foot. Two studies[72, 89] involved locomotor training ensured subject safety by an accessible panic switch and monitored by therapists. Three other studies[68, 75, 78] applied velocity control for the purpose of safety. Specifically, stretching velocity slowed gradually down with increasing resistance torque or at the joint extreme positions. Zhang, 2002 also mentioned the safety screws used as mechanical stop to restrict the motor ROM and a digital signal processor controller for position limit. However, few studies were conducted in terms of safety and reliability assessment. There are only two studies[75, 80] whose outcome measures contained the subjective evaluation of the subjects. Subjects in showed very postive subjective evaluation in terms of the comfort of stretching. Participants in responded favorably to the use of the device and stated that they would enjoy having this device complementing their current rehabilitation programs.
Optimal ankle therapy
There is no reason to believe that a “one-size-fits-all” optimal treatment exists. In other words, therapy should be tailored to each patient’s needs and abilities. Robot-assisted therapy can be delivered in a variety of ways to reduce motor impairment and enhance functional motor outcomes. For instance, goal-directed therapeutic games can be designed to address motor impairments including poor coordination, impaired motor speed or accuracy, and diminished strength, as well as addressing cognitive or perceptual impairments[58, 64, 66, 73, 76, 77, 80, 82],[83, 88, 90]. Depending on the participant’s impairment, robotic-assisted treatment can provide passive, active-assistive, active, and active-resistive exercises. As with, an optimal therapy could be tailored to each stroke patient through a novel performance-based impedance control algorithm. Further investigation is needed to assess its therapeutic effects.
The question of what is the most appropriate robot-assisted ankle rehabilitation is not evident. Hogan, 2006 demonstrated the form of therapy may be more important than its intensity: muscle strengthening offers no advantage over movement training. Experienced rehabilitation therapists advocated “active assist exercise” or “assistance as needed”, which refers to the principle of helping the patient perform a movement with the minimal amount of manual assistance possible. Moreover, showed neither ankle joint nor the subtalar joints were acting as ideal hinge joints with a fixed axis of rotation and motion of the foot-shank complex in any direction is the result of rotations at both the ankle and the subtalar joints. In detail, the contribution of the ankle joint to dorsiflexion/plantarflexion of the foot-shank complex is larger than that of the subtalar joint, the contribution of the subtalar joint to inversion/eversion is larger than that of the ankle joint, and the ankle and the subtalar joints have an approximately equal contribution to internal/external rotation movements of the foot-shank complex. Therefore, robotic movement assistance as needed given in different rotational directions should base on different joints/axes, which can be defined as “effective movement assistance as needed”.
Limitations of this review
An attempt was made to ensure that all studies related with robot-assisted ankle rehabilitation with any grade of ankle disability were reviewed. In this review we assumed that all studies used different patients, but because some studies were conducted at the same place and at the same time, we cannot be certain whether only unrelated study populations were used. However, other research may exist in which robot or ankle was not identified as a key term within the article. For instance, some articles about ankle rehabilitation robots were probably described in terms of devices and lower extremity/lower limb. Only articles after 1980 were included in this study as robot-assisted ankle rehabilitation was very limited before then. We included published conference papers and abstracts as well as full peer-reviewed papers but did not include abstracts written in languages other than English or unpublished data. Some studies may therefore have been excluded on this basis, leading to potential incomplete search.
Even though a range of robot-assisted ankle rehabilitation devices and control strategies are available for individuals with ankle disability, the most effective ankle rehabilitation device and control algorithm is still vague. This is due to a lack of universal evaluation criteria with effective outcome measures. Although using RCTs to assess effects of robots on ankle outcomes is expensive and time-consuming, so too are the robots designed to assist.
In terms of control strategies, providing too much assistance has negative consequences and therefore “effective movement assistance as needed” control strategy is probably encouraging for ankle rehabilitation. Specifically, that means to assist the participant only as much as needed according to real-time ankle performance or systematically reduce its assistance as recovery progresses. This will be better if combined with VR designed to be in dynamic accordance with ankle performance. In other words, the VR system should be updated online automatically as ankle rehabilitation progresses. However, to achieve dynamic and real-time ankle rehabilitation level is extremely important for realizing “effective movement assistance as needed” control, which could be realized through dynamically evaluating ankle stiffness or based on patients’ task accuracy. The technological challenge in integrating it into VR system is significant as well.
Few studies have undergone rigorous experimental assessment with high-level evidence. Therefore, higher level trials like RCTs should be conducted aiming at assessing the therapeutic effects of robot-assisted ankle rehabilitation devices and control strategies. These trials should base on rigorous comparison with each other, and with simpler, non-robotic conventional therapy in terms of devices and control strategies. It is also necessary to set up universal evaluation criteria that should contain systematic and comprehensive outcomes to evaluate devices and control strategies, including the assessment of end-user comfort, safety and training performance. These evaluation criteria may improve the consistency of results and facilitate comparisons among ankle rehabilitation robots.
Randomized Control Trial
Accident Compensation Corporation
Range Of Motion
American Academy for Cerebral Palsy and Developmental Medicine
Assisted Movement with Enhanced Sensation
Degree Of Freedom
Portable Powered AFO
Spinal Cord Injury
Maximum Voluntary Contraction
Functional Independence Measure
Rivermead Motor Assessment
Single Subject Research Design
Group Research Design.
Tejima N: Rehabilitation robotics: a review. Advanced Robotics 2000, 14: 551-564.
Hertel J: Functional anatomy, pathomechanics, and pathophysiology of lateral ankle instability. J Athl Train 2002, 37: 364-375.
Brukner P, Khan K: Clinical sports medicine. 3rd edition. Sydney: McGraw Hill; 2006.
ACC898 Managing soft tissue ankle injuries: a summary of recent research. +cost http://www.acc.co.nz/search-results/index.htm?ssUserText=ankle
Williams GR, Jiang JG, Matchar DB, Samsa GP: Incidence and occurrence of total (first-ever and recurrent) stroke. Stroke 1999, 30: 2523-2528. 10.1161/01.STR.30.12.2523
Dettori J, Basmania C: Early ankle mobilization, part II: a one-year follow-up of acute, lateral ankle sprains (a randomized clinical trial). Mil Med 1994, 159: 15-20.
Trevino S, Davis P, Hecht P: Management of acute and chronic lateral ligament injuries of the ankle. Orthop Clin North Am 1994, 25: 1-16.
Braun BL: Effects of ankle sprain in a general clinic population 6 to 18 months after medical evaluation. Arch Fam Med 1999, 8: 143-148. 10.1001/archfami.8.2.143
Jamwal PK: Design analysis and control of wearable ankle rehabilitation robot. The University of Auckland, Mechanical Engineering Department: PHD thesis; 2011.
Krebs HI, Palazzolo JJ, Dipietro L, Ferraro M, Krol J, Rannekleiv K, Volpe BT, Hogan N: Rehabilitation robotics: performance-based progressive robot-assisted therapy. Autonomous Robots 2003, 15: 7-20. 10.1023/A:1024494031121
Wheeler JW, Krebs HI, Hogan N: An ankle robot for a modular gait rehabilitation system. In 2004 IEEE/RSJ international conference on intelligent robots and systems; 28 september-2 October. Sendai, Japan: IEEE; 2004:1680-1684.
Tsoi YH, Xie SQ: Design and control of a parallel robot for ankle rehabilitation. International Journal of Intelligent Systems Technologies and Applications 2010, 8: 100-113. 10.1504/IJISTA.2010.030193
Yoon J, Ryu J, Lim K-B: Reconfigurable ankle rehabilitation robot for various exercises. Journal of Robotic Systems 2006,22(Supplement):15-3.
Mohammed S, Amirat Y, Rifai H: Lower-limb movement assistance through wearable robots: state of the Art and challenges. Advanced Robotics 2012, 26: 1-22. 10.1163/016918611X607356
Hesse S, Schmidt H, Werner C, Bardeleben A: Upper and lower extremity robotic devices for rehabilitation and for studying motor control. Curr Opin Neurol 2003, 16: 705-710. 10.1097/00019052-200312000-00010
Senanayake C, Senanayake SMNA: Emerging robotics devices for therapeutic rehabilitation of the lower extremity. In EEE/ASME international conference on advanced intelligent mechatronics; July 14–17. Singapore: Institute of Electrical and Electronics Engineers Inc; 2009:1142-1147.
Kwakkel G, Kollen BJ, Krebs HI: Effects of robot-assisted therapy on upper limb recovery after stroke: a systematic review. Neurorehabil Neural Repair 2008, 22: 111-121.
American Heritage Publishing Company: The American heritage dictionary of the English language. 4th edition. Boston: Houghton Mifflin, c2006: Houghton Mifflin Company; 2004.
Critical review form – quantitative studies. http://www.srs-mcmaster.ca/Portals/20/pdf/ebp/quanreview.pdf
Guidelines for critical review form - quantitative studies. http://www.srs-mcmaster.ca/Portals/20/pdf/ebp/quanguidelines.pdf
AACPDM methodology to develop systematic reviews of treatment interventions (revision 1.2). http://www.aacpdm.org/UserFiles/file/treatment_outcomes_methodology.pdf
Saglia JA, Tsagarakis NG, Dai JS, Caldwell DG: Assessment of the assistive performance of an ankle exerciser using electromyographic signals. In International conference of the IEEE engineering in medicine and biology society. Buenos Aires, Argentina: IEEE; 2010:5854-5858.
Park Y-L, Chen B-R, Young D, Stirling L, Wood RJ, Goldfield E, Nagpal R: Bio-inspired active soft orthotic device for ankle foot pathologies. In International conference on intelligent robots and systems: celebrating 50 years of robotics; 25–30 September. San Francisco, United states: Institute of Electrical and Electronics Engineers Inc; 2011:4488-4495.
Saglia JA, Tsagarakis NG, Dai JS, Caldwell DG: Control strategies for ankle rehabilitation using a high performance ankle exerciser. In International conference on robotics and automation; 3–8 May. Anchorage, Alaska: IEEE; 2010:2221-2227.
Bharadwaj K, Sugar TG, Koeneman JB, Koeneman EJ: Design of a robotic gait trainer using spring over muscle actuators for ankle stroke rehabilitation. J Biomech Eng 2005, 127: 1009-1013. 10.1115/1.2049333
Pan B-W, Lin C-C K, Ju M-S, Ju M-S: Development of a Robot for Ankle Rehabilitation of Stroke Patients. J Biomech 2007, 40: S648.
Yoshizawa N: Gait trials of an active AFO for Achilles tendon ruptures. In International conference on rehabilitation robotics; 23–26 June. Kyoto, Japan: IEEE Computer Society; 2009:253-256.
Ferris DP, Gordon KE, Sawicki GS, Peethambaran A: An improved powered ankle-foot orthosis using proportional myoelectric control. Gait Posture 2006, 23: 425-428. 10.1016/j.gaitpost.2005.05.004
Bucca G, Bezzolato A, Bruni S, Molteni F: A mechatronic device for the rehabilitation of ankle motor function. J Biomech Eng 2009, 131: 125001.125001-125001.125007.
Krebs HI, Rossi S, Kim S, Artemiadis PK, Williams D, Castelli E, Cappa P, Krebs HI, Rossi S, Kim S, Artemiadis PK, Williams D, Castelli E, Cappa P: Pediatric anklebot. In International conference on rehabilitation robotics; June 29-july 1. Switzerland: ETH Zurich Science City; 2011:1-5.
Norris JA, Marsh AP, Granata KP, Ross SD: Positive feedback in powered exoskeletons: improved metabolic efficiency at the cost of reduced stability. In International design engineering technical conferences & computers and information in engineering conference; September 4–7. Las Vegas, USA: ASME; 2007.
Sawicki GS, Gordon KE, Ferris DP: Powered lower limb orthoses: applications in motor adaptation and rehabilitation. In Int C rehab robot; 28 june-1 July. Chicago, USA: IEEE; 2005:206-211.
Roy A, Krebs HI, Williams DJ, Bever CT, Forrester LW, Macko RM, Hogan N: Robot-aided neurorehabilitation: a novel robot for ankle rehabilitation. IEEE Transactions on Robotics 2009, 25: 569-582.
Miyoshi T, Hiramatsu K, Yamamoto S-I, Nakazawa K, Akai M: Robotic gait trainer in water: development of an underwater gait-training orthosis. Disabil Rehabil 2008, 30: 81-87. 10.1080/09638280701191826
Lin C-CK JM-S, Chen S-M, Pan B-W: A specialized robot for ankle rehabilitation and evaluation. Journal of Medical and Biological Engineering 2008, 28: 79-86.
Blanchette A, Lambert S, Richards CL, Bouyer LJ: Walking while resisting a perturbation: effects on ankle dorsiflexor activation during swing and potential for rehabilitation. Gait Posture 2011, 34: 358-363. 10.1016/j.gaitpost.2011.06.001
Tsoi YH: Modelling and adaptive interaction control of a parallel robot for ankle rehabilitation. The University of Auckland, Department of Mechanical Engineering: PHD thesis; 2011.
Syrseloudis CE, Emiris IZ, Lilas T, Maglara A: Design of a simple and modular 2-DOF ankle physiotherapy device relying on a hybrid serial-parallel robotic architecture. Applied Bionics and Biomechanics 2011, 8: 101-114.
Sun H, Zhang L, Li C: Dynamic analysis of horizontal lower limbs rehabilitative robot. In 2009 IEEE international conference on intelligent computing and intelligent systems; 20–22 November. Shanghai, China: IEEE; 2009:656-660.
Pengju S, Ligang Y, Zhifeng L, Huayang Y, Dai JS: Analysis and synthesis of ankle motion and rehabilitation robots. In 2009 IEEE international conference on robotics and biomimetics; 19–23 December. Guilin, China: IEEE; 2009:2533-2538.
Au SK, Weber J, Herr H, Au SK, Weber J, Herr H: Biomechanical design of a powered ankle-foot prosthesis. In 2007 IEEE 10th international conference on rehabilitation robotics; 12–15 June. Noordwijk, Netherlands: IEEE Computer Society; 2007:298-303.
ChunMan T, ZhenYang W, WeyYew T, Yu Zheng C: Design and development of inexpensive pneumatically-powered assisted knee-ankle-foot orthosis for gait rehabilitation-preliminary finding. In 2012 International conference on biomedical engineering; 27–28 feburary. Penang, Malaysia: IEEE; 2012:28-32.
Gengqian L, Jinlian G, Hong Y, Xiaojun Z, Guangda L: Design and kinematics analysis of parallel robots for ankle rehabilitation. In 2006 IEEE/RSJ international conference on intelligent robots and systems; 9–15 October. Beijing, China: IEEE; 2006:253-258.
Syrseloudis CE, Emiris IZ, Maganaris CN, Lilas TE: Design framework for a simple robotic ankle evaluation and rehabilitation device. In 30th Annual international conference of the IEEE engineering in medicine and biology society; 20–25 august. Vancouver, Canada: IEEE; 2008:4310-4313.
Allemand Y, Stauffer Y, Clavel R, Brodard R, Allemand Y, Stauffer Y, Clavel R, Brodard R: Design of a new lower extremity orthosis for overground gait training with the WalkTrainer. In 2009 IEEE 11th International Conference on Rehabilitation Robotics; 23–26 June. Kyoto, Japan: IEEE Computer Society; 2009:550-555.
Satici AC, Erdogan A, Patoglu V: Design of a reconfigurable ankle rehabilitation robot and its use for the estimation of the ankle impedance. In 2009 IEEE International Conference on Rehabilitation Robotics; 23–26 June. Kyoto, Japan: IEEE Computer Society; 2009:257-264.
Erdogan A, Satici AC, Patoglu V: Design of a reconfigurable force feedback ankle exoskeleton for physical therapy. In 2009 ASME/IFToMM international conference on reconfigurable mechanisms and robots; 22–24 June. London, United Kingdom: IEEE Computer Society; 2009:400-408.
Agrawal A, Banala SK, Agrawal SK, Binder-Macleod SA: Design of a two degree-of-freedom ankle-foot orthosis for robotic rehabilitation. In Int C rehab robot; June 28-july 1. Chicago, United States: IEEE Computer Society; 2005:41-44.
Tsoi YH, Xie SQ, Graham AE: Design, modeling and control of an ankle rehabilitation robot. Studies in Computational Intelligence 2009, 177: 377-399. 10.1007/978-3-540-89933-4_18
Hitt J, Oymagil AM, Sugar T, Hollander K, Boehler A, Fleeger J: Dynamically controlled ankle-foot orthosis (DCO) with regenerative kinetics: incrementally attaining user portability. In 2007 IEEE international conference on robotics and automation; 10–14 April. Roma, Italy: IEEE; 2007:1541-1546.
Cullell A, Moreno JC, Pons JL: The gait orthosis. A robotic system for functional compensation and biomechanical evaluation. In 2007 IEEE international conference on robotics and automation 10–14 April. Roma, Italy: IEEE; 2007:3136-3137.
Veneva I: Intelligent device for control of active ankle-foot orthosis. In 7th IASTED international conference on biomedical engineering; 17–19 feburary. Innsbruck, Austria: Acta Press; 2010:100-105.
Jamwal PK, Xie S, Aw KC: Kinematic design optimization of a parallel ankle rehabilitation robot using modified genetic algorithm. Robotics & Autonomous Systems 2009, 57: 1018-1027. 10.1016/j.robot.2009.07.017
Dai JS, Zhao T, Nester C: Sprained ankle physiotherapy based mechanism synthesis and stiffness analysis of a robotic rehabilitation device. Autonomous Robots 2004, 16: 207-218.
Mohammed S, Amirat Y: Towards intelligent lower limb wearable robots: challenges and perspectives - state of the Art. In 2008 IEEE international conference on robotics and biomimetics; 22–25 feburary. Bangkok, Thailand: IEEE; 2009:312-317.
Yoon J, Ryu J: A novel reconfigurable ankle/foot rehabilitation robot. In 2005 IEEE international conference on robotics and automation; 18–22 April. Barcelona, Spain: IEEE; 2005:2290-2295.
Wu Y-N, Ren Y, Hwang M, Gaebler-Spira DJ, Zhang L-Q: Efficacy of robotic rehabilitation of ankle impairments in children with cerebral palsy. In 32th Annual international conference of the IEEE engineering in medicine and biology society; august 31-september 4. Buenos Aires, Argentina; 2010:4481-4484.
Wu YN, Hwang M, Ren YP, Gaebler-Spira D, Zhang LQ: Combined passive stretching and active movement rehabilitation of lower-limb impairments in children with cerebral palsy using a portable robot. Neurorehabil Neural Repair 2011, 25: 378-385. 10.1177/1545968310388666
Ahn J: Feasibility of novel gait training with robotic assistance: dynamic entrainment to mechanical perturbation to the ankle. Massachusetts Institute of Technology, Dept of Mechanical Engineering: PHD thesis; 2011.
Ahn J, Patterson T, Lee H, Klenk D, Lo A, Krebs HI, Hogan N: Feasibility of entrainment with ankle mechanical perturbation to treat locomotor deficit of neurologically impaired patients. In 2011 Annual international conference of the IEEE engineering in medicine and biology society; Aug 30-sept 3. Boston, USA: IEEE; 2011:7474-7477.
Maeshima S, Osawa A, Nishio D, Hirano Y, Takeda K, Kigawa H, Sankai Y: Efficacy of a hybrid assistive limb in post-stroke hemiplegic patients: a preliminary report. BMC Neurol 2011, 11: 116-116. 10.1186/1471-2377-11-116
Quintero HA, Farris RJ, Hartigan C, Clesson I, Goldfarb M: A powered lower limb orthosis for providing legged mobility in paraplegic individuals. Topics in Spinal Cord Injury Rehabilitation 2011, 17: 25-33.
Blaya JA, Herr H: Adaptive control of a variable-impedance ankle-foot orthosis to assist drop-foot gait. IEEE Trans Neural Syst Rehabil Eng 2004, 12: 24-31. 10.1109/TNSRE.2003.823266
Cioi D, Kale A, Burdea G, Engsberg J, Janes W, Ross S: Ankle control and strength training for children with cerebral palsy using the Rutgers ankle CP: a case study. In 2011 IEEE international conference on rehabilitation robotics; June 29-july 1. ETH Zurich Science City, Switzerland: IEEE; 2011:654-659.
McGehrin K, Roy A, Goodman R, Rietschel J, Forrester L, Bever C: Ankle robotics training in Sub-acute stroke survivors: concurrent within-session changes in ankle motor control and brain electrical activity. Neural Repair/Rehabilitation 2012, 78: 01.175.
Forrester LW, Roy A, Krebs HI, Macko RF: Ankle training with a robotic device improves hemiparetic gait after a stroke. Neurorehabil Neural Repair 2011, 25: 369-377. 10.1177/1545968310388291
Cordo P, Lutsep H, Cordo L, Wright WG, Cacciatore T, Skoss R: Assisted movement with enhanced sensation (AMES): coupling motor and sensory to remediate motor deficits in chronic stroke patients. Neurorehabil Neural Repair 2009, 23: 67-77.
Ren Y, Xu T, Wang L, Yang CY, Guo X, Harvey RL, Zhang L-Q: Develop a wearable ankle robot for in-bed acute stroke rehabilitation. In 33rd Annual international conference of the IEEE engineering in medicine and biology society; august 30-september 3. Boston, United states: Institute of Electrical and Electronics Engineers Inc; 2011:7483-7486.
Homma K, Usuba M: Development of ankle dorsiflexion/plantarflexion exercise device with passive mechanical joint. In 2007 IEEE 10th international conference on rehabilitation robotics; 12–15 June. Noordwijk, Netherlands: IEEE Computer Society; 2007:292-297.
Furusho J, Kikuchi T, Tokuda M, Kakehashi T, Ikeda K, Morimoto S, Hashimoto Y, Tomiyama H, Nakagawa A, Akazawa Y: Development of shear type compact MR brake for the intelligent ankle-foot orthosis and its control. In 2007 IEEE 10th international conference on rehabilitation robotics; 12–15 June. Noordwijk, Netherlands: IEEE Computer Society; 2007:89-94.
Sawicki GS, Domingo A, Ferris DP: The effects of powered ankle-foot orthoses on joint kinematics and muscle activation during walking in individuals with incomplete spinal cord injury. Journal of Neuro engineering and Rehabilitation 2006, 3: 3. 10.1186/1743-0003-3-3
Mirbagheri MM, Ness LL, Patel CP, Quiney K, Rymer WZ: The effects of robotic-assisted locomotor training on spasticity and volitional control. In 2011 IEEE international conference on rehabilitation robotics; June 29-july 1. ETH Zurich Science City, Switzerland: IEEE; 2011.
Mirelman A, Bonato P, Deutsch JE: Effects of training with a robot-virtual reality system compared with a robot alone on the gait of individuals after stroke. Stroke 2008, 40: 169-174.
Chin LF, Lim WS, Kong KH: Evaluation of robotic-assisted locomotor training outcomes at a rehabilitation centre in singapore. Singapore Med J 2010, 51: 709-715.
Selles RW, Li X, Lin F, Chung SG, Roth EJ, Zhang L-Q: Feedback-controlled and programmed stretching of the ankle plantarflexors and dorsiflexors in stroke: effects of a 4-week intervention program. Arch Phys Med Rehabil 2005, 86: 2330-2336. 10.1016/j.apmr.2005.07.305
Boian RF, Deutsch JE, Lee CS, Burdea GC, Lewis J: Haptic effects for virtual reality-based post-stroke rehabilitation. In 11th Symposium on haptic interfaces for virtual environment and teleoperator systems; 22–23 march. Los Angeles, USA: IEEE; 2003:247-253.
Deutsch JE, Pasercllia C, Vecchione C, Mirelman A, Lewis JA, Doian R, Burclca G: Improved gait and elevation speed of individuals poststroke after lower extremity training in virtual environments. Journal of Neurological Physical Therapy 2004, 28: 185-186.
Zhang L-Q, Chung SG, Bai Z, Xu D, Rey EMT, Rogers MW, Johnson ME, Roth EJ: Intelligent stretching of ankle joints with contracture spasticity. IEEE Trans Neural Syst Rehabil Eng 2002, 10: 149-157. 10.1109/TNSRE.2002.802857
Tanida S, Kikuchi T, Kakehashi T, Otsuki K, Ozawa T, Fujikawa T, Yasuda T, Furusho J, Morimoto S, Hashimoto Y: Intelligently controllable ankle foot orthosis (I-AFO) and its application for a patient of guillain-barre syndrome. In 2009 IEEE international conference on rehabilitation robotics, ICORR 2009, June 23, 2009 - June 26, 2009. Kyoto, Japan: IEEE Computer Society; 2009:857-862.
Girone M, Burdea G, Bouzit M, Popescu V: Orthopedic rehabilitation using the “Rutgers ankle” interface. In Virtual reality meets Med. Amsterdam, The Netherlands: Ios Press; 2000:89-95.
Shorter KA, Kogler GF, Loth E, Durfee WK, Hsiao-Wecksler ET: A portable powered ankle-foot orthosis for rehabilitation. J Rehabil Res Dev 2011, 48: 459-472. 10.1682/JRRD.2010.04.0054
Deutsch JE, Latonio J, Burdea GC, Boian R: Post-stroke rehabilitation with the rutgers ankle system: a case study. Presence 2001, 10: 416-430. 10.1162/1054746011470262
Deutsch JE, Latonio J, Burdea GC, Boian R: Rehabilitation of musculoskeletal injuries using the Rutgers ankle haptic interface: three case reports. In Eurohaptics conference. Birmingham, UK: ; 2001:11-16.
Burdea GC, Cioi D, Angad K, Janes WE, Ross SA, Engsberg JR: Robotics and gaming to improve ankle strength, motor control and function in children with cerebral palsy-a case study series. IEEE Transaction on Neural System and Rehabilitation Engineering 2012,PP(99):1.
Roy A, Forrester LW, Macko RF: Short-term ankle motor performance with ankle robotics training in chronic hemiparetic stroke. J Rehabil Res Dev 2011, 48: 417-430. 10.1682/JRRD.2010.04.0078
Waldman G, Wu YN, Ren Y, Li Y, Guo X, Roth EJ, Wang L, Zhang LQ: Stroke rehabilitation using a portable robot improves biomechanical and clinical outcome measures. In International stroke conference and nursing symposium poster presentations. Los Angeles, USA: The American Heart Association; 2011:e128.
Ward J, Sugar T, Standeven J, Engsberg JR: Stroke survivor gait adaptation and performance after training on a powered ankle foot orthosis. In 2010 IEEE international conference on robotics and automation; 3–8 May. Anchorage, USA: IEEE; 2010:211-216.
Deutsch JE, Lewis JA, Burdea G: Technical and patient performance using a virtual reality-integrated telerehabilitation system: preliminary finding. IEEE Trans Neural Syst Rehabil Eng 2007, 15: 30-35.
Mirbagheri MM, Tsao C, Pelosin E, Rymer WZ: Therapeutic effects of robotic-assisted locomotor training on neuromuscular properties. In Int C rehab robot; 28 june-1 July. Chicago, USA: IEEE; 2005:561-564.
Boian RF, Lee CS, Deutsch JE, Burdea GC, Lewis JA: Virtual reality-based system for ankle rehabilitation post stroke. In International workshop on virtual reality rehabilitation (mental health, neurological, physical, vocational) VRMHR 2002 . Lausanne, Switzerland: ; 2002:77-86.
Mirbagheri MM, Patel C, Quiney K: Robotic-assisted locomotor training impact on neuromuscular properties and muscle strength in spinal cord injury. In Engineering in medicine and biology society,EMBC, 2011 annual international conference of the IEEE; Aug. 30 2011-Sept. 3 2011. Boston, Massachusetts USA: ; 2011:4132-4135.
International classification of functioning, disability and health. ,_Disability_and_Health http://en.wikipedia.org/wiki/International_Classification_of_Functioning
Mudge S, Stott NS: Timed walking tests correlate with daily step activity in persons with stroke. Arch Phys Med Rehabil 2009, 90: 296-301. 10.1016/j.apmr.2008.07.025
Nadeau S, Gravel D, Arsenault AB, Bourbonnais D: Plantarflexor weakness as a limiting factor of gait speed in stroke subjects and the compensating role of hip flexors. Clin Biomech 1999, 14: 125-135. 10.1016/S0268-0033(98)00062-X
Ross SA, Engsberg JR: Relationships between spasticity, strength, gait, and the GMFM-66 in persons with spastic diplegia cerebral palsy. Arch Phys Med Rehabil 2007, 88: 1114-1120. 10.1016/j.apmr.2007.06.011
Lin SI: Motor function and joint position sense in relation to gait performance in chronic stroke patients. Arch Phys Med Rehabil 2005, 86: 197-203. 10.1016/j.apmr.2004.05.009
Kim CM, Eng JJ: The relationship of lower-extremity muscle torque to locomotor performance in people with stroke. Phys Ther 2003, 83: 49-57.
Lin PY, Yang YR, Cheng SJ, Wang RY: The relation between ankle impairments and gait velocity and symmetry in people with stroke. Arch Phys Med Rehabil 2006, 87: 562-568. 10.1016/j.apmr.2005.12.042
Stein J, Hughes R, Fasoli S, Krebs HI, Hogan N: Clinical applications of robots in rehabilitation. Physical and Rehabilitation Medicine 2005, 17: 217-230.
Marchal-Crespo L, Reinkensmeyer DJ: Review of control strategies for robotic movement training after neurologic injury. J Neuroeng Rehabil 2009, 6: 20. 10.1186/1743-0003-6-20
Lim H-O, Tanie K: Human safety mechanisms of human-friendly robots: passive viscoelastic trunk and passively movable base. The International Journal of Robotics Research 2000, 19: 307-335. 10.1177/02783640022066888
Santis AD, Siciliano B, Luca AD, Bicchi A: An atlas of physical human–robot interaction. Mechanism and Machine Theory 2008, 43: 253-270. 10.1016/j.mechmachtheory.2007.03.003
Hogan N, Krebs HI, Rohrer B, Palazzolo JJ, Dipietro L, Fasoli SE, Stein J, Hughs R, Frontera WR, Lynch D, Volpe BT: Motions or muscles? some behavioral factors underlying robotic assistance of motor recovery. J Rehabil Res Dev 2006, 43: 605-618. 10.1682/JRRD.2005.06.0103
Radomski MV, Latham CAT: Occupational therapy for physical dysfunction. 6th edition. Philadelphia, USA: Lippincott Williams & Wilkins; 2008.
Siegler S, Chen J, Schneck CD: The three-dimensional kinematics and flexibility characteristics of the human ankle and subtalar joints—part I Kinematics1. J Biomech Eng 1988, 110: 364-373. 10.1115/1.3108455
This work was carried out with financial support from the University of Auckland, New Zealand. Meanwhile, the authors also thank China Sponsorship Council for its sponsorship.
The authors declare that they have no competing interests.
MZ participated as a first reviewer in the design of the study and the data collection, data analysis and drafted the manuscript. TCD participated in the design of the review, and participated as a second reviewer in the study selection and quality assessment and helped in the data extraction and revising the manuscript. SX participated as a third reviewer to solve the discrepancies between MZ and TCD and to modify the manuscript. All authors read and approved the final manuscript.
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Zhang, M., Davies, T.C. & Xie, S. Effectiveness of robot-assisted therapy on ankle rehabilitation – a systematic review. J NeuroEngineering Rehabil 10, 30 (2013). https://doi.org/10.1186/1743-0003-10-30
- Robot-assisted therapy
- Ankle rehabilitation
- Clinical effectiveness